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Genotype-phenotype relations of the von Hippel-Lindau tumor suppressor inferred from a large-scale analysis of disease mutations and interactors

机译:从疾病突变和相互作用因子的大规模分析推断出冯·希珀尔·林道肿瘤抑制基因的基因型与表型的关系

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摘要

Familiar cancers represent a privileged point of view for studying the complex cellular events inducing tumor transformation. Von Hippel-Lindau syndrome, a familiar predisposition to develop cancer is a clear example. Here, we present our efforts to decipher the role of von Hippel-Lindau tumor suppressor protein (pVHL) in cancer insurgence. We collected high quality information about both pVHL mutations and interactors to investigate the association between patient phenotypes, mutated protein surface and impaired interactions. Our data suggest that different phenotypes correlate with localized perturbations of the pVHL structure, with specific cell functions associated to different protein surfaces. We propose five different pVHL interfaces to be selectively involved in modulating proteins regulating gene expression, protein homeostasis as well as to address extracellular matrix (ECM) and ciliogenesis associated functions. These data were used to drive molecular docking of pVHL with its interactors and guide Petri net simulations of the most promising alterations. We predict that disruption of pVHL association with certain interactors can trigger tumor transformation, inducing metabolism imbalance and ECM remodeling. Collectively taken, our findings provide novel insights into VHL-associated tumorigenesis. This highly integrated in silico approach may help elucidate novel treatment paradigms for VHL disease.
机译:熟悉的癌症代表了研究诱导肿瘤转化的复杂细胞事件的一种特权观点。冯·希佩尔·林道综合症(一种常见的癌症易感性)就是一个明显的例子。在这里,我们介绍我们的工作,以解读von Hippel-Lindau肿瘤抑制蛋白(pVHL)在抗癌中的作用。我们收集了有关pVHL突变和相互作用因子的高质量信息,以研究患者表型,突变的蛋白表面和相互作用受损之间的关联。我们的数据表明,不同的表型与pVHL结构的局部扰动相关,而特定的细胞功能与不同的蛋白质表面相关。我们提出五个不同的pVHL接口,以选择性地参与调节蛋白,调节基因表达,蛋白稳态以及解决细胞外基质(ECM)和纤毛生成相关功能。这些数据被用来驱动pVHL及其相互作用分子的分子对接,并指导最有希望的改变的Petri网模拟。我们预测与某些相互作用因子的pVHL关联的破坏会触发肿瘤转化,诱导新陈代谢失衡和ECM重塑。总的来说,我们的发现为VHL相关的肿瘤发生提供了新颖的见解。这种高度集成的计算机方法可能有助于阐明VHL疾病的新型治疗范例。

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